{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9882eb49",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       日期（月）  销售额（万元）\n",
      "0 2025-01-31     4026\n",
      "1 2025-02-28     1193\n",
      "2 2025-03-31     2221\n",
      "3 2025-04-30     4498\n",
      "4 2025-05-31     3690\n",
      "5 2025-06-30     3089\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "#date=pd.date_range(start='2025-01-01',end='2025-06-30',freq=\"MS\")月初\n",
    "date=pd.date_range(start='2025-01-01',end='2025-06-30',freq=\"ME\")#月末\n",
    "\n",
    "\n",
    "# 生成随机销售数据\n",
    "sales = np.random.randint(1000, 5000, size=len(date))\n",
    "\n",
    "# 创建DataFrame\n",
    "df = pd.DataFrame({'日期（月）': date, '销售额（万元）': sales})\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b8fafdd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x,y=df[\"日期（月）\"],df[\"销售额（万元）\"]\n",
    "\n",
    "\n",
    "plt.rcParams[\"font.sans-serif\"]=\"SimHei\"\n",
    "plt.rcParams[\"axes.unicode_minus\"]=False\n",
    "\n",
    "plt.figure(figsize=(5,3))\n",
    "plt.plot(x,y)\n",
    "plt.xlabel(\"日期\")\n",
    "plt.ylabel(\"销售额\")\n",
    "plt.title(\"2025年上半年销售额\")\n",
    "#plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a148a238",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.16"
  }
 },
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